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t5-small-ENG2BASH-NL2BASH-customv1-customv2
alexsha/t5-small-ENG2BASH-NL2BASH-customv1-customv2
t5-small-ENG2BASH-NL2BASH-customv1-customv2 is a machine learning model from alexsha. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 21, 2023
- Updated
- Feb 21, 2023
- SHA
- 49a0e9c0
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
t5-small-ENG2BASH-NL2BASH-customv1-customv2
This model is a fine-tuned version of alexsha/t5-small-ENG2BASH-NL2BASH-customv1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3117
- Bleu: 62.6753
- Gen Len: 17.36
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 40 | 1.3531 | 21.0375 | 12.04 |
| No log | 2.0 | 80 | 0.6775 | 56.9739 | 16.88 |
| No log | 3.0 | 120 | 0.5087 | 61.3993 | 17.2 |
| No log | 4.0 | 160 | 0.4243 | 58.4332 | 17.2 |
| No log | 5.0 | 200 | 0.3642 | 61.2412 | 17.44 |
| No log | 6.0 | 240 | 0.3367 | 63.1132 | 17.56 |
| No log | 7.0 | 280 | 0.3181 | 63.1132 | 17.56 |
| No log | 8.0 | 320 | 0.3140 | 62.9769 | 17.44 |
| No log | 9.0 | 360 | 0.3136 | 63.861 | 17.32 |
| No log | 10.0 | 400 | 0.3117 | 62.6753 | 17.36 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- Created
- Feb 21, 2023
- Updated
- Feb 21, 2023